Used internally, to summarise posterior distributions, but the logic does apply to any distribution (thus, the name).
summarise_dist(x, robust = TRUE, interval_width = 0.95)A numeric vector with four named elements: est (the median/mean),
err (the MAD-SD/SD), lo and hi (the lower and upper boundaries of the
interval).
a numeric vector of posterior draws.
single logical. if TRUE (default) the median and median
absolute deviation (MAD-SD; scaled to be comparable to the standard
deviation for normal distributions) are used to summarise the distribution;
if FALSE, the mean and standard deviation (SD) are used instead (slightly
faster, but may be less appropriate for skewed distribution).
single numeric value (> 0 and <1); the width of the
interval; default is 0.95, corresponding to 95% percentile-base credible
intervals for posterior distributions.
MAD-SDs are scaled to correspond to SDs if distributions are normal,
similarly to the stats::mad() function; see details regarding calculation
in that function's description.